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New Technology of Library and Information Service  2014, Vol. 30 Issue (9): 15-21    DOI: 10.11925/infotech.1003-3513.2014.09.03
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Research on Innovation Points Extraction from Scientific Research Paper Based on Field Thesaurus
Zhang Fan1,2, Le Xiaoqiu1
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
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[Objective] This article aims to extract innovation points of sentence-level from scientific research paper of specific domain. [Methods] The field thesaurus and Ontology are used in constructing rules to extract innovation points from sentences in research papers, and a redundancy computing method based on keyword-overlap computing is used to filter redundant innovation points. [Results] The experiment is undertaken on data set of Neoplasm and the result shows that the accuracy rate is 89.42% and the recall rate is 60.14%. [Limitations] The rules need to be further improved, and the recall rate needs to be improved. [Conclusions] Using field thesaurus and the relationships in Ontology is effective in extracting innovation points from scientific research paper.

Key wordsScientific research paper      Linguistic feature      Structured abstract      Innovation point extraction      Overlap computing     
Received: 14 May 2014      Published: 20 October 2014
:  TP393  

Cite this article:

Zhang Fan, Le Xiaoqiu. Research on Innovation Points Extraction from Scientific Research Paper Based on Field Thesaurus. New Technology of Library and Information Service, 2014, 30(9): 15-21.

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